Dr. Priyanshi Singh
Independent Researcher
Madhya Pradesh, India
Abstract
In the rapidly evolving landscape of supply chain management, the integration of predictive analytics into multi-node inventory systems, particularly those interfacing with SAP data, is becoming increasingly vital. This paper explores the methodologies for integrating predictive analytics into these systems, highlighting the impact on inventory management efficiency, decision-making, and overall supply chain performance. By examining current literature, methodologies, and case studies, this research aims to provide a comprehensive framework for organizations looking to leverage predictive analytics to optimize their inventory management processes. Results indicate significant improvements in forecasting accuracy, inventory turnover rates, and operational efficiency, ultimately leading to enhanced service levels and reduced costs.
Keywords
Predictive Analytics, Multi-Node Inventory Systems, SAP Data Integration, Supply Chain Management, Inventory Optimization, Decision Support Systems.
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